LipSync.video

Lip Sync, Narrowly

• LipSync.video is a single-purpose tool that makes a face in a video appear to speak a supplied audio track, synchronising mouth movements and facial expression to the sound.
• Two model tiers: Lip Sync 1.0 is fast and portrait-only with basic effects, while Lip Sync 2.0 handles varied character types more realistically and costs more credits per second.
• Three input routes: upload video with audio, record audio directly, or type a script and let it generate the speech.
• Audio is capped at 90 seconds, which is the constraint that decides whether this fits your use case at all.
• Credits can be earned through daily check-ins, sharing and following, as well as purchased — and downloads carry no watermark.

Models, Limits And Credits

What Lip Sync Is Actually For

This is a narrow tool and understanding the specific jobs it does explains whether it is useful to you in about a minute.

Dubbing without reshooting. You have footage of someone speaking and you want them to appear to say something else — a different language, a corrected line, an updated figure. Re-recording means getting the person back in front of a camera, which is frequently impossible.

Full generators like Fliki build the whole video instead. Making a still or stock face speak. An avatar, a character, an illustration. This is how a lot of animated explainer and character content gets made without animating mouths frame by frame.

Fixing a bad take. The delivery was wrong on one line, the audio was clean, and the visual is otherwise fine. Replacing the audio and resyncing is far cheaper than reshooting.

Music and performance content. Making a character or a face perform a track, which the site lists among its use cases alongside anime and interviews.

What it is not is a video generator. It does not create footage, write scripts or produce anything without a face and an audio track to start from. That narrowness is a virtue — tools that do one thing tend to do it more predictably — and it means the question is simply whether your job is this job.

It does not make video. It makes an existing face say something else, which is a much smaller claim and a much more reliable one.

The Two Tiers Are A Genuine Trade, Not Upselling

The model split is unusually honest for this category and the difference is worth understanding before you spend anything.

Lip Sync 1.0 is fast, restricted to portrait videos, and offers basic effects at 1 credit per 90 seconds. Lip Sync 2.0 handles varied character types with more realistic movement at 4 credits per 30 seconds.

Do the arithmetic and the gap is stark: 2.0 costs twelve times as much per second of output. That is not a small upsell, it is a different product tier, and it tells you something real about the compute involved in convincing facial motion.

The practical implication is to match the tier to the footage rather than defaulting upward. A straightforward front-facing portrait, well lit, is exactly what 1.0 was built for, and paying twelve times more for it wastes credits.

2.0 earns its cost on anything harder: non-human characters, animation, angles that are not straight-on, or footage where the face moves. Those are precisely the cases where a cheaper model produces the uncanny mismatch that makes the whole thing unusable.

The sensible test is to run the same clip through both. The quality difference on your specific footage is the only thing that tells you which tier your work actually needs, and it is a cheap experiment.

The 90-Second Ceiling Decides Everything

Audio is capped at 90 seconds, and this single constraint determines whether the tool fits your work more than any quality consideration does.

Ninety seconds is a social clip, an advertisement, a single scene, a short explainer, a message. It is comfortably enough for the majority of short-form content, which is what the tool is clearly aimed at.

It is nowhere near enough for a course module, a webinar, a full interview, a training video or anything long-form. Those would need splitting into segments and stitching, which introduces continuity problems at every join and is not what this is built for.

If long-form dubbing is your requirement, BlipCut and HeyGen handle full videos and are the right place to look. The distinction is genuinely useful: this is a clip tool, they are library tools.

The 500 MB background video limit is generous by comparison and rarely binds at 90 seconds of output.

Processing takes minutes to around half an hour depending on length and complexity, which is normal for the compute involved and worth knowing if you were expecting something instant.

1. Check your audio length first — if it exceeds 90 seconds, this is the wrong tool and nothing else matters.
2. Run one clip through both model tiers and compare, rather than assuming you need the expensive one.
3. Test on your hardest footage: an angle, a moving face, poor lighting.
4. Watch the result with the sound off and see whether the mouth motion still reads naturally.
5. Confirm you have the right to use the face and the voice before publishing anything.

Earning Credits Instead Of Buying Them

This site does not publish plan prices. The structure here is genuinely unusual and worth understanding, because the free route is not free in the way it appears.

Credits come from several places: check-in credits daily, share credits daily, follow credits weekly, post credits weekly, and paid credits which are permanent. Paid subscriptions for unlimited access exist alongside all of that, and no sign-up is required for basic free access.

The earned-credit mechanism is a growth loop rather than generosity. Share credits and follow credits are the platform paying you in capacity for promotion — you are trading distribution for compute, which is a legitimate exchange as long as you notice you are making it.

The distinction that matters practically is that earned credits appear to reset on their cycle while paid credits are permanent. For occasional use, daily check-ins may genuinely cover you. For anything with a deadline, earned credits are not a plan — you cannot accumulate a week's worth on the day you need them.

Watermark-free downloads are worth noting, because plenty of free tiers in this category brand the output and this one does not.

Two things to confirm: whether the 1.0 and 2.0 tiers draw from the same credit pool, and whether a subscription's unlimited access covers both models or only the cheaper one. The twelve-fold cost difference makes that a material question.

Reading The Company's Own Framing

One claim on the site needs careful reading, and it is the kind that appears across this whole category.

The site states recognition by more than a million global creators and displays major company names — Amazon, Instagram, TikTok, YouTube — alongside that.

Those platform names are almost certainly destinations for the output rather than customers of the product. A video made here gets posted to TikTok or YouTube; that is not the same as TikTok using the tool. Logo walls in this category routinely blur that distinction, and it is worth reading them precisely rather than as endorsements.

The creator figure is self-reported and unaudited, as such counters generally are.

The company is stated as headquartered in Singapore. Beyond that, founding details, team and funding are not published on the pages reviewed — which for a credit-based tool you can test for free matters far less than it would for enterprise software.

The genuinely useful signal here is not the logos. It is that the tool works without a sign-up, exports without a watermark and publishes its credit costs per tier openly — all of which let you evaluate it properly before committing anything.

• Platform names shown are output destinations, not customers
• The million-creator figure is self-reported and unaudited
• Headquarters stated as Singapore; founding and team details not published
• No sign-up required, which makes independent evaluation trivial
• Credit costs per tier are published openly, which is unusually transparent